Fei Fang

Fei Fang is an Associate Professor in the Software and Societal Systems Department at Carnegie Mellon University (CMU), where she explores the intersection of artificial intelligence and multi-agent systems. Her work integrates machine learning with game theory to address challenges in security, sustainability, and mobility, aligning with the AI for Social Good mission.

• Ph.D. in Computer Science, University of Southern California (2016)
• B.Eng. in Electronic Engineering, Tsinghua University (2011)

Recent research focuses on reinforcement learning, large language models (LLMs), and human-AI collaboration. Her team’s work has been recognized with 15+ awards across prestigious venues like IAAI, AAAI, and IJCAI. Notable accolades include the 2023 Allen Newell Award, 2022 Sloan Fellowship, and NSF CAREER Award (2021).

She actively contributes to educational initiatives, including teaching "Demystifying AI for Everyone" at CMU, and has sought part-time teaching assistants for course development. Her research spans 15+ domains, including AI ethics, cyber defense, traffic optimization, and public health.